V0.1.2 Research Computing Services IS & T

Numerical and Scientific Computing in Python

v0.1.2

Research Computing Services IS & T

RCS Team and Expertise

Our Team

Scientific Programmers Systems Administrators Graphics/Visualization Specialists Account/Project Managers Special Initiatives (Grants) Maintains and administers the Shared Computing Cluster

Located in Holyoke, MA ~19,000 CPUs running Linux

Consulting Focus:

Bioinformatics Data Analysis / Statistics Molecular modeling Geographic Information Systems Scientific / Engineering Simulation Visualization

CONTACT US: help@scc.bu.edu

Running Python for the Tutorial

If you have an SCC account, log on and use Python there.

Run:

module load python/3.6.2 spyder & source /net/scc2/scratch/Numpy_examples.sh

Note that the spyder program takes a while to load!

SCC On-Demand

Go to: scc-ondemand.bu.edu Go to Interactive Apps, choose Spyder. Once available, open a terminal window and run:

source /net/scc2/scratch/Numpy_examples.sh

Run Spyder

Click on the Start Menu in the bottom left corner and type: spyder

After a second or two it will be found. Click to run it.

Be patient...it takes a while to start.

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